from sklearn_benchmarks.reporting.hp_match import HPMatchReporting
import pandas as pd
pd.set_option('display.max_colwidth', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
reporting = HPMatchReporting(against_lib="sklearnex", config="config.yml")
reporting.make_report()
We assume here there is a perfect match between the hyperparameters of both librairies. For a given set of parameters and a given dataset, we compute the speedup
time scikit-learn / time sklearnex. For instance, a speedup of 2 means that sklearnex is twice as fast as scikit-learn for a given set of parameters and a given dataset.
KNeighborsClassifier_brute_force¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=brute.
| estimator | function | n_samples_train | n_samples | n_features | accuracy_score_sklearn | accuracy_score_sklearnex | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 0.663 | 0.687 | 0.024 |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 0.757 | 0.742 | 0.015 |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 0.882 | 0.875 | 0.007 |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 1.000 | 0.000 | 1.000 |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 0.882 | 0.875 | 0.007 |
| 11 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 1.000 | 0.000 | 1.000 |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 0.757 | 0.742 | 0.015 |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 0.663 | 0.687 | 0.024 |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 0.896 | 0.967 | 0.071 |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 0.922 | 0.974 | 0.052 |
| 25 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 0.929 | 0.975 | 0.046 |
| 28 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 0.929 | 0.975 | 0.046 |
| 31 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 0.922 | 0.974 | 0.052 |
| 34 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 0.896 | 0.967 | 0.071 |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.000 | 6.631 | 0.0 | -1 | 1 | 0.050 | 0.002 | 0.240 | 0.240 | See | See |
| 3 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.000 | 6.524 | 0.0 | -1 | 5 | 0.050 | 0.000 | 0.246 | 0.246 | See | See |
| 6 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.000 | 6.779 | 0.0 | 1 | 100 | 0.049 | 0.001 | 0.242 | 0.242 | See | See |
| 9 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.013 | 0.000 | 6.380 | 0.0 | -1 | 100 | 0.050 | 0.000 | 0.250 | 0.250 | See | See |
| 12 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.000 | 6.508 | 0.0 | 1 | 5 | 0.050 | 0.001 | 0.248 | 0.248 | See | See |
| 15 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.013 | 0.000 | 6.365 | 0.0 | 1 | 1 | 0.050 | 0.001 | 0.249 | 0.249 | See | See |
| 18 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.005 | 0.001 | 0.319 | 0.0 | -1 | 1 | 0.008 | 0.000 | 0.603 | 0.604 | See | See |
| 21 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.000 | 0.380 | 0.0 | -1 | 5 | 0.008 | 0.000 | 0.499 | 0.499 | See | See |
| 24 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.005 | 0.001 | 0.346 | 0.0 | 1 | 100 | 0.009 | 0.000 | 0.537 | 0.537 | See | See |
| 27 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.000 | 0.366 | 0.0 | -1 | 100 | 0.008 | 0.000 | 0.532 | 0.532 | See | See |
| 30 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.000 | 0.376 | 0.0 | 1 | 5 | 0.008 | 0.000 | 0.507 | 0.507 | See | See |
| 33 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.000 | 0.377 | 0.0 | 1 | 1 | 0.008 | 0.000 | 0.510 | 0.511 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.904 | 0.125 | 0.000 | 0.002 | -1 | 1 | 0.173 | 0.006 | 11.001 | 11.007 | See | See |
| 2 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.026 | 0.003 | 0.000 | 0.026 | -1 | 1 | 0.009 | 0.000 | 2.903 | 2.904 | See | See |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.694 | 0.026 | 0.000 | 0.003 | -1 | 5 | 0.172 | 0.004 | 15.633 | 15.636 | See | See |
| 5 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.027 | 0.003 | 0.000 | 0.027 | -1 | 5 | 0.009 | 0.000 | 3.018 | 3.020 | See | See |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.058 | 0.003 | 0.000 | 0.002 | 1 | 100 | 0.208 | 0.001 | 9.904 | 9.905 | See | See |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.024 | 0.000 | 0.000 | 0.024 | 1 | 100 | 0.010 | 0.000 | 2.457 | 2.459 | See | See |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.720 | 0.040 | 0.000 | 0.003 | -1 | 100 | 0.208 | 0.002 | 13.093 | 13.093 | See | See |
| 11 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.027 | 0.002 | 0.000 | 0.027 | -1 | 100 | 0.009 | 0.001 | 2.856 | 2.871 | See | See |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.053 | 0.004 | 0.000 | 0.002 | 1 | 5 | 0.171 | 0.001 | 12.004 | 12.004 | See | See |
| 14 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.024 | 0.001 | 0.000 | 0.024 | 1 | 5 | 0.009 | 0.000 | 2.587 | 2.588 | See | See |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.211 | 0.008 | 0.001 | 0.001 | 1 | 1 | 0.170 | 0.001 | 7.115 | 7.115 | See | See |
| 17 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.025 | 0.001 | 0.000 | 0.025 | 1 | 1 | 0.009 | 0.000 | 2.689 | 2.693 | See | See |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.752 | 0.022 | 0.000 | 0.002 | -1 | 1 | 0.026 | 0.000 | 68.118 | 68.119 | See | See |
| 20 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.005 | 0.004 | 0.000 | 0.005 | -1 | 1 | 0.001 | 0.000 | 7.320 | 7.348 | See | See |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 2.642 | 0.039 | 0.000 | 0.003 | -1 | 5 | 0.028 | 0.002 | 95.863 | 96.064 | See | See |
| 23 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.005 | 0.000 | 0.000 | 0.005 | -1 | 5 | 0.001 | 0.000 | 7.269 | 7.326 | See | See |
| 25 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 2.000 | 0.009 | 0.000 | 0.002 | 1 | 100 | 0.061 | 0.002 | 32.874 | 32.889 | See | See |
| 26 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.003 | 0.000 | 0.000 | 0.003 | 1 | 100 | 0.001 | 0.000 | 3.955 | 3.975 | See | See |
| 28 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 2.676 | 0.029 | 0.000 | 0.003 | -1 | 100 | 0.060 | 0.000 | 44.884 | 44.884 | See | See |
| 29 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.006 | 0.002 | 0.000 | 0.006 | -1 | 100 | 0.001 | 0.000 | 7.652 | 7.712 | See | See |
| 31 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.959 | 0.007 | 0.000 | 0.002 | 1 | 5 | 0.027 | 0.000 | 73.330 | 73.330 | See | See |
| 32 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.003 | 0.000 | 0.000 | 0.003 | 1 | 5 | 0.001 | 0.000 | 4.446 | 4.462 | See | See |
| 34 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.085 | 0.009 | 0.000 | 0.001 | 1 | 1 | 0.026 | 0.000 | 41.727 | 41.727 | See | See |
| 35 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.002 | 0.000 | 0.000 | 0.002 | 1 | 1 | 0.001 | 0.000 | 2.702 | 2.719 | See | See |
KNeighborsClassifier_kd_tree¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=kd_tree.
| estimator | function | n_samples_train | n_samples | n_features | accuracy_score_sklearn | accuracy_score_sklearnex | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.929 | 0.910 | 0.019 |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.946 | 0.941 | 0.005 |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.951 | 0.940 | 0.011 |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.951 | 0.940 | 0.011 |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.946 | 0.941 | 0.005 |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.929 | 0.910 | 0.019 |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.891 | 0.879 | 0.012 |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.911 | 0.905 | 0.006 |
| 25 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.894 | 0.917 | 0.023 |
| 28 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.894 | 0.917 | 0.023 |
| 31 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.911 | 0.905 | 0.006 |
| 34 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.891 | 0.879 | 0.012 |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.066 | 0.076 | 0.026 | 0.0 | -1 | 1 | 0.744 | 0.051 | 4.119 | 4.128 | See | See |
| 3 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.665 | 0.028 | 0.022 | 0.0 | -1 | 5 | 0.726 | 0.004 | 5.046 | 5.046 | See | See |
| 6 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.637 | 0.067 | 0.022 | 0.0 | 1 | 100 | 0.699 | 0.014 | 5.201 | 5.202 | See | See |
| 9 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.605 | 0.093 | 0.022 | 0.0 | -1 | 100 | 0.720 | 0.010 | 5.010 | 5.010 | See | See |
| 12 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.669 | 0.067 | 0.022 | 0.0 | 1 | 5 | 0.698 | 0.007 | 5.259 | 5.259 | See | See |
| 15 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.562 | 0.050 | 0.022 | 0.0 | 1 | 1 | 0.718 | 0.010 | 4.959 | 4.960 | See | See |
| 18 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.001 | 0.021 | 0.0 | -1 | 1 | 0.003 | 0.002 | 0.256 | 0.295 | See | See |
| 21 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | 0.031 | 0.0 | -1 | 5 | 0.002 | 0.002 | 0.244 | 0.311 | See | See |
| 24 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | 0.031 | 0.0 | 1 | 100 | 0.001 | 0.000 | 0.610 | 0.614 | See | See |
| 27 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | 0.031 | 0.0 | -1 | 100 | 0.001 | 0.000 | 0.648 | 0.649 | See | See |
| 30 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | 0.029 | 0.0 | 1 | 5 | 0.001 | 0.000 | 0.662 | 0.663 | See | See |
| 33 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | 0.031 | 0.0 | 1 | 1 | 0.001 | 0.000 | 0.640 | 0.641 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.798 | 0.983 | 0.000 | 0.001 | -1 | 1 | 0.117 | 0.001 | 6.833 | 6.833 | See | See |
| 2 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.002 | 0.001 | 0.000 | 0.002 | -1 | 1 | 0.000 | 0.000 | 9.646 | 10.185 | See | See |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.996 | 0.300 | 0.000 | 0.001 | -1 | 5 | 0.201 | 0.003 | 4.946 | 4.947 | See | See |
| 5 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | 0.000 | 0.003 | -1 | 5 | 0.000 | 0.000 | 7.852 | 8.393 | See | See |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 5.480 | 0.267 | 0.000 | 0.005 | 1 | 100 | 0.602 | 0.009 | 9.106 | 9.107 | See | See |
| 8 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | 0.000 | 0.003 | 1 | 100 | 0.001 | 0.000 | 4.178 | 4.379 | See | See |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 3.125 | 0.253 | 0.000 | 0.003 | -1 | 100 | 0.600 | 0.013 | 5.207 | 5.208 | See | See |
| 11 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.005 | 0.001 | 0.000 | 0.005 | -1 | 100 | 0.001 | 0.000 | 7.193 | 7.562 | See | See |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.649 | 0.172 | 0.000 | 0.002 | 1 | 5 | 0.207 | 0.006 | 7.964 | 7.967 | See | See |
| 14 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.002 | 0.000 | 0.000 | 0.002 | 1 | 5 | 0.000 | 0.000 | 3.789 | 4.000 | See | See |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.936 | 0.237 | 0.000 | 0.001 | 1 | 1 | 0.114 | 0.002 | 8.223 | 8.225 | See | See |
| 17 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 1 | 0.000 | 0.000 | 3.882 | 4.138 | See | See |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.025 | 0.011 | 0.001 | 0.000 | -1 | 1 | 0.000 | 0.000 | 62.932 | 63.207 | See | See |
| 20 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 1 | 0.000 | 0.000 | 23.553 | 24.699 | See | See |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.023 | 0.001 | 0.001 | 0.000 | -1 | 5 | 0.001 | 0.000 | 36.320 | 36.343 | See | See |
| 23 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 5 | 0.000 | 0.000 | 23.701 | 24.738 | See | See |
| 25 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.036 | 0.007 | 0.000 | 0.000 | 1 | 100 | 0.004 | 0.000 | 7.919 | 7.920 | See | See |
| 26 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 100 | 0.000 | 0.000 | 6.134 | 6.357 | See | See |
| 28 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.038 | 0.006 | 0.000 | 0.000 | -1 | 100 | 0.005 | 0.002 | 7.293 | 7.631 | See | See |
| 29 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 100 | 0.000 | 0.000 | 24.304 | 25.085 | See | See |
| 31 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.020 | 0.000 | 0.001 | 0.000 | 1 | 5 | 0.001 | 0.000 | 31.505 | 31.536 | See | See |
| 32 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 5 | 0.000 | 0.000 | 6.379 | 6.654 | See | See |
| 34 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.019 | 0.000 | 0.001 | 0.000 | 1 | 1 | 0.000 | 0.000 | 48.853 | 48.964 | See | See |
| 35 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 1 | 0.000 | 0.000 | 6.567 | 6.864 | See | See |
KMeans_tall¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=full, n_clusters=3, max_iter=30, n_init=1, tol=1e-16.
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | init | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_tall | fit | 1000000 | 1000000 | 2 | 0.517 | 0.061 | 30 | 0.031 | 0.0 | random | 0.380 | 0.025 | 1.359 | 1.362 | See | See |
| 3 | KMeans_tall | fit | 1000000 | 1000000 | 2 | 0.560 | 0.013 | 30 | 0.029 | 0.0 | k-means++ | 0.408 | 0.026 | 1.374 | 1.376 | See | See |
| 6 | KMeans_tall | fit | 1000000 | 1000000 | 100 | 5.779 | 0.192 | 30 | 0.138 | 0.0 | random | 2.835 | 0.018 | 2.038 | 2.038 | See | See |
| 9 | KMeans_tall | fit | 1000000 | 1000000 | 100 | 5.941 | 0.039 | 30 | 0.135 | 0.0 | k-means++ | 3.053 | 0.038 | 1.946 | 1.946 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | init | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_tall | predict | 1000000 | 1000 | 2 | 0.002 | 0.001 | 30 | 0.010 | 0.000 | random | 0.0 | 0.0 | 9.239 | 13.497 | See | See |
| 2 | KMeans_tall | predict | 1000000 | 1 | 2 | 0.001 | 0.000 | 30 | 0.000 | 0.001 | random | 0.0 | 0.0 | 8.601 | 13.347 | See | See |
| 4 | KMeans_tall | predict | 1000000 | 1000 | 2 | 0.002 | 0.001 | 30 | 0.010 | 0.000 | k-means++ | 0.0 | 0.0 | 12.421 | 14.174 | See | See |
| 5 | KMeans_tall | predict | 1000000 | 1 | 2 | 0.001 | 0.000 | 30 | 0.000 | 0.001 | k-means++ | 0.0 | 0.0 | 13.469 | 14.253 | See | See |
| 7 | KMeans_tall | predict | 1000000 | 1000 | 100 | 0.002 | 0.000 | 30 | 0.483 | 0.000 | random | 0.0 | 0.0 | 6.843 | 7.363 | See | See |
| 8 | KMeans_tall | predict | 1000000 | 1 | 100 | 0.001 | 0.000 | 30 | 0.001 | 0.001 | random | 0.0 | 0.0 | 12.755 | 13.186 | See | See |
| 10 | KMeans_tall | predict | 1000000 | 1000 | 100 | 0.002 | 0.000 | 30 | 0.500 | 0.000 | k-means++ | 0.0 | 0.0 | 6.585 | 7.140 | See | See |
| 11 | KMeans_tall | predict | 1000000 | 1 | 100 | 0.001 | 0.000 | 30 | 0.001 | 0.001 | k-means++ | 0.0 | 0.0 | 11.149 | 11.489 | See | See |
KMeans_short¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=full, n_clusters=300, max_iter=20, n_init=1, tol=1e-16.
| estimator | function | n_samples_train | n_samples | n_features | adjusted_rand_score_sklearn | adjusted_rand_score_sklearnex | diff_adjusted_rand_scores | |
|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_short | predict | 10000 | 1000 | 2 | 0.000126 | -0.000965 | 0.001090 |
| 4 | KMeans_short | predict | 10000 | 1000 | 2 | 0.001245 | -0.000750 | 0.001995 |
| 7 | KMeans_short | predict | 10000 | 1000 | 100 | 0.278733 | 0.293767 | 0.015034 |
| 10 | KMeans_short | predict | 10000 | 1000 | 100 | 0.317011 | 0.256968 | 0.060044 |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | init | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_short | fit | 10000 | 10000 | 2 | 0.075 | 0.001 | 20 | 0.002 | 0.0 | random | 0.026 | 0.001 | 2.896 | 2.900 | See | See |
| 3 | KMeans_short | fit | 10000 | 10000 | 2 | 0.217 | 0.006 | 20 | 0.001 | 0.0 | k-means++ | 0.081 | 0.000 | 2.690 | 2.690 | See | See |
| 6 | KMeans_short | fit | 10000 | 10000 | 100 | 0.199 | 0.009 | 20 | 0.040 | 0.0 | random | 0.106 | 0.001 | 1.888 | 1.888 | See | See |
| 9 | KMeans_short | fit | 10000 | 10000 | 100 | 0.560 | 0.007 | 20 | 0.014 | 0.0 | k-means++ | 0.312 | 0.003 | 1.793 | 1.793 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | init | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_short | predict | 10000 | 1000 | 2 | 0.002 | 0.0 | 20 | 0.009 | 0.000 | random | 0.000 | 0.0 | 4.351 | 4.358 | See | See |
| 2 | KMeans_short | predict | 10000 | 1 | 2 | 0.001 | 0.0 | 20 | 0.000 | 0.001 | random | 0.000 | 0.0 | 13.511 | 13.851 | See | See |
| 4 | KMeans_short | predict | 10000 | 1000 | 2 | 0.002 | 0.0 | 20 | 0.009 | 0.000 | k-means++ | 0.000 | 0.0 | 4.073 | 4.094 | See | See |
| 5 | KMeans_short | predict | 10000 | 1 | 2 | 0.001 | 0.0 | 20 | 0.000 | 0.001 | k-means++ | 0.000 | 0.0 | 12.465 | 12.902 | See | See |
| 7 | KMeans_short | predict | 10000 | 1000 | 100 | 0.003 | 0.0 | 20 | 0.317 | 0.000 | random | 0.001 | 0.0 | 2.614 | 2.625 | See | See |
| 8 | KMeans_short | predict | 10000 | 1 | 100 | 0.001 | 0.0 | 20 | 0.001 | 0.001 | random | 0.000 | 0.0 | 10.515 | 10.739 | See | See |
| 10 | KMeans_short | predict | 10000 | 1000 | 100 | 0.002 | 0.0 | 20 | 0.323 | 0.000 | k-means++ | 0.001 | 0.0 | 2.658 | 2.666 | See | See |
| 11 | KMeans_short | predict | 10000 | 1 | 100 | 0.001 | 0.0 | 20 | 0.001 | 0.001 | k-means++ | 0.000 | 0.0 | 9.347 | 9.542 | See | See |
LogisticRegression¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: penalty=l2, dual=False, tol=0.0001, C=1.0, fit_intercept=True, intercept_scaling=1, class_weight=nan, random_state=nan, solver=lbfgs, max_iter=100, multi_class=auto, verbose=0, warm_start=False, n_jobs=nan, l1_ratio=nan.
| estimator | function | n_samples_train | n_samples | n_features | accuracy_score_sklearn | accuracy_score_sklearnex | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|
| 1 | LogisticRegression | predict | 1000000 | 1000 | 100 | 0.56 | 0.55 | 0.01 |
| 4 | LogisticRegression | predict | 1000 | 100 | 10000 | 0.35 | 0.28 | 0.07 |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | LogisticRegression | fit | 1000000 | 1000000 | 100 | 11.074 | 0.444 | [20] | 0.072 | 0.000 | 2.087 | 0.030 | 5.307 | 5.308 | See | See |
| 3 | LogisticRegression | fit | 1000 | 1000 | 10000 | 0.940 | 0.584 | [26] | 0.085 | 0.001 | 0.841 | 0.019 | 1.119 | 1.119 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | LogisticRegression | predict | 1000000 | 1000 | 100 | 0.000 | 0.0 | [20] | 2.136 | 0.0 | 0.001 | 0.001 | 0.581 | 1.124 | See | See |
| 2 | LogisticRegression | predict | 1000000 | 1 | 100 | 0.000 | 0.0 | [20] | 0.016 | 0.0 | 0.000 | 0.000 | 0.358 | 0.364 | See | See |
| 4 | LogisticRegression | predict | 1000 | 100 | 10000 | 0.002 | 0.0 | [26] | 5.281 | 0.0 | 0.005 | 0.001 | 0.293 | 0.296 | See | See |
| 5 | LogisticRegression | predict | 1000 | 1 | 10000 | 0.000 | 0.0 | [26] | 1.065 | 0.0 | 0.001 | 0.000 | 0.052 | 0.053 | See | See |
Ridge¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: alpha=1.0, fit_intercept=True, normalize=deprecated, copy_X=True, max_iter=nan, tol=0.001, solver=auto, random_state=nan.
| estimator | function | n_samples_train | n_samples | n_features | r2_score_sklearn | r2_score_sklearnex | diff_r2_scores | |
|---|---|---|---|---|---|---|---|---|
| 1 | Ridge | predict | 1000 | 1000 | 10000 | 0.082567 | 0.122191 | 0.039624 |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Ridge | fit | 1000 | 1000 | 10000 | 0.178 | 0.003 | 0.448 | 0.0 | 0.189 | 0.001 | 0.946 | 0.946 | See | See |
| 3 | Ridge | fit | 1000000 | 1000000 | 100 | 1.173 | 0.063 | 0.682 | 0.0 | 0.312 | 0.239 | 3.765 | 4.748 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Ridge | predict | 1000 | 1000 | 10000 | 0.011 | 0.001 | 6.964 | 0.0 | 0.019 | 0.001 | 0.601 | 0.601 | See | See |
| 2 | Ridge | predict | 1000 | 1 | 10000 | 0.000 | 0.000 | 1.291 | 0.0 | 0.000 | 0.000 | 0.686 | 0.748 | See | See |
| 4 | Ridge | predict | 1000000 | 1000 | 100 | 0.000 | 0.000 | 5.670 | 0.0 | 0.000 | 0.000 | 0.549 | 0.724 | See | See |
| 5 | Ridge | predict | 1000000 | 1 | 100 | 0.000 | 0.000 | 0.017 | 0.0 | 0.000 | 0.000 | 0.603 | 0.636 | See | See |